In data mining, a most basic concept we need to know is the difference between classification and clustering? Please give some web links and attach papers.
http://www.cos.ufrj.br/~jano/LinkedDocuments/_papers/aula13/04-IHW-Textmining.pdf
Dear Santosh Dash,
Both classification and clustering split data into groups. However, in classification the groups are specified before hand (supervised learning), while in clustering the groups (or clusters) are based on the similarities of data instances to each other (unsupervised learning). For more information, please see the attached link.
https://www.quora.com/What-is-the-difference-between-Clustering-and-Classification-in-Machine-Learning
for classification, you already now the classes in advance. So, you just classify your instances.
for clustering, there is no classes. You group your instances according depends on the similarity.
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